Files
gh-christianlouis-dmarq/backend/app/api/api_v1/endpoints/domains.py
T
Christian Krakau-Louis 69f8438a36 Add domain management, reports, settings, and upload templates
- Implemented domain management page with a list of monitored domains and their DMARC, SPF, and DKIM statuses.
- Created reports page with filtering options for domain, report type, and date range, displaying DMARC reports.
- Developed settings page for IMAP configuration and DMARC policy management, including form validation and feedback.
- Added upload page for DMARC report files with drag-and-drop functionality and file type validation.
- Integrated Alpine.js for interactivity and dynamic data handling across all templates.
2025-04-20 18:38:29 +02:00

318 lines
10 KiB
Python

from typing import List, Optional, Dict, Any
from datetime import datetime, timedelta
from fastapi import APIRouter, HTTPException, status, Path, Query
from pydantic import BaseModel
from app.services.report_store import ReportStore
router = APIRouter()
class DomainBase(BaseModel):
"""Base Domain schema"""
name: str
description: Optional[str] = None
policy: Optional[str] = None
class DomainResponse(DomainBase):
"""Domain response schema"""
reports_count: int = 0
emails_count: int = 0
compliance_rate: float = 0.0
class DomainStatsResponse(BaseModel):
"""Domain statistics for the domain details page"""
complianceRate: float
totalEmails: int
failedEmails: int
reportCount: int
class DNSRecordResponse(BaseModel):
"""DNS record information for a domain"""
dmarc: bool
dmarcRecord: Optional[str] = None
spf: bool
spfRecord: Optional[str] = None
dkim: bool
dkimSelectors: Optional[str] = None
class TimelinePoint(BaseModel):
"""Data point for compliance timeline"""
date: str
compliance_rate: float
class ReportEntry(BaseModel):
"""Summary of a DMARC report"""
id: str
org_name: str
begin_date: int
end_date: int
total_emails: int
pass_rate: float
policy: str
class SourceEntry(BaseModel):
"""Summary of a sending source"""
ip: str
count: int
spf: str
dkim: str
dmarc: str
disposition: str
class DomainReportsResponse(BaseModel):
"""Domain reports with compliance timeline"""
reports: List[ReportEntry]
compliance_timeline: List[TimelinePoint]
class DomainSourcesResponse(BaseModel):
"""Domain sending sources"""
sources: List[SourceEntry]
class DomainSummaryResponse(BaseModel):
"""Domain summary for dashboard"""
total_domains: int
total_emails: int
overall_pass_rate: float
reports_processed: int
domains: List[Dict[str, Any]]
@router.get("/summary", response_model=DomainSummaryResponse)
async def get_domains_summary():
"""
Get summary statistics for all domains, formatted for the dashboard.
"""
store = ReportStore.get_instance()
domains = store.get_domains()
summaries = store.get_all_domain_summaries()
# Calculate overall statistics
total_domains = len(domains)
total_emails = 0
total_passed = 0
total_reports = 0
domains_list = []
for domain_name in domains:
summary = summaries.get(domain_name, {})
total_emails += summary.get("total_count", 0)
total_passed += summary.get("passed_count", 0)
total_reports += summary.get("reports_processed", 0)
# Format domain data for frontend
domains_list.append({
"id": domain_name, # Using the domain name as ID for now
"domain_name": domain_name,
"total_emails": summary.get("total_count", 0),
"passed_count": summary.get("passed_count", 0),
"failed_count": summary.get("failed_count", 0),
"pass_rate": summary.get("compliance_rate", 0),
"report_count": summary.get("reports_processed", 0)
})
# Calculate overall pass rate
overall_pass_rate = 0
if total_emails > 0:
overall_pass_rate = round((total_passed / total_emails) * 100, 1)
return DomainSummaryResponse(
total_domains=total_domains,
total_emails=total_emails,
overall_pass_rate=overall_pass_rate,
reports_processed=total_reports,
domains=domains_list
)
@router.get("/domains", response_model=List[DomainResponse])
async def read_domains():
"""
Retrieve domains with their statistics.
For Milestone 1, this simply returns domains from the in-memory store.
"""
store = ReportStore.get_instance()
domains = store.get_domains()
summaries = store.get_all_domain_summaries()
result = []
for domain_name in domains:
summary = summaries.get(domain_name, {})
domain_response = DomainResponse(
name=domain_name,
policy=summary.get("policy", "unknown"),
reports_count=summary.get("reports_processed", 0),
emails_count=summary.get("total_count", 0),
compliance_rate=summary.get("compliance_rate", 0.0)
)
result.append(domain_response)
return result
@router.get("/domains/{domain_name}", response_model=DomainResponse)
async def read_domain(domain_name: str):
"""
Get statistics for a specific domain.
"""
store = ReportStore.get_instance()
domains = store.get_domains()
if domain_name not in domains:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Domain not found",
)
summary = store.get_domain_summary(domain_name)
return DomainResponse(
name=domain_name,
policy=summary.get("policy", "unknown"),
reports_count=summary.get("reports_processed", 0),
emails_count=summary.get("total_count", 0),
compliance_rate=summary.get("compliance_rate", 0.0)
)
# New endpoints for domain details page
@router.get("/{domain_id}/stats", response_model=DomainStatsResponse)
async def get_domain_stats(domain_id: str = Path(..., title="The domain ID or name")):
"""
Get detailed statistics for a specific domain
"""
store = ReportStore.get_instance()
domains = store.get_domains()
# For Milestone 1, domain_id is simply the domain name
if domain_id not in domains:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Domain not found",
)
summary = store.get_domain_summary(domain_id)
total_count = summary.get("total_count", 0)
passed_count = summary.get("passed_count", 0)
failed_count = total_count - passed_count
compliance_rate = summary.get("compliance_rate", 0.0)
reports_processed = summary.get("reports_processed", 0)
return DomainStatsResponse(
complianceRate=compliance_rate,
totalEmails=total_count,
failedEmails=failed_count,
reportCount=reports_processed
)
@router.get("/{domain_id}/dns", response_model=DNSRecordResponse)
async def get_domain_dns_records(domain_id: str = Path(..., title="The domain ID or name")):
"""
Get DNS records for a specific domain. For Milestone 1,
this returns mock data since DNS integration is part of a future milestone.
"""
store = ReportStore.get_instance()
domains = store.get_domains()
if domain_id not in domains:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Domain not found",
)
# For Milestone 1, return mock DNS record data
# In a future milestone, this will be replaced with actual DNS lookups
return DNSRecordResponse(
dmarc=True,
dmarcRecord="v=DMARC1; p=none; rua=mailto:dmarc@example.com; ruf=mailto:forensic@example.com; pct=100",
spf=True,
spfRecord="v=spf1 include:_spf.google.com include:spf.protection.outlook.com -all",
dkim=True,
dkimSelectors="selector1, selector2"
)
@router.get("/{domain_id}/reports", response_model=DomainReportsResponse)
async def get_domain_reports(
domain_id: str = Path(..., title="The domain ID or name"),
limit: int = Query(10, title="Maximum number of reports to return")
):
"""
Get recent DMARC reports for a specific domain, along with compliance timeline
"""
store = ReportStore.get_instance()
domains = store.get_domains()
if domain_id not in domains:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Domain not found",
)
# Get reports for this domain
reports = store.get_domain_reports(domain_id, limit=limit)
# Generate report entries
report_entries = []
for report in reports:
report_entries.append(ReportEntry(
id=report.get("report_id", "unknown"),
org_name=report.get("org_name", "Unknown Organization"),
begin_date=report.get("begin_date", 0),
end_date=report.get("end_date", 0),
total_emails=report.get("total_count", 0),
pass_rate=report.get("pass_rate", 0.0),
policy=report.get("policy", "none")
))
# Generate compliance timeline (last 30 days)
timeline = []
for i in range(30, 0, -1):
date = datetime.now() - timedelta(days=i)
date_str = date.strftime("%Y-%m-%d")
# For Milestone 1, generate some mock data with variation
# In future milestone, this will use actual historical data
import random
compliance_rate = random.uniform(80, 100)
timeline.append(TimelinePoint(
date=date_str,
compliance_rate=round(compliance_rate, 1)
))
return DomainReportsResponse(
reports=report_entries,
compliance_timeline=timeline
)
@router.get("/{domain_id}/sources", response_model=DomainSourcesResponse)
async def get_domain_sources(
domain_id: str = Path(..., title="The domain ID or name"),
days: int = Query(30, title="Number of days to look back")
):
"""
Get sending sources for a specific domain
"""
store = ReportStore.get_instance()
domains = store.get_domains()
if domain_id not in domains:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Domain not found",
)
# Get sending sources for this domain
sources = store.get_domain_sources(domain_id, days=days)
source_entries = []
for source in sources:
source_entries.append(SourceEntry(
ip=source.get("source_ip", "unknown"),
count=source.get("count", 0),
spf=source.get("spf_result", "unknown"),
dkim=source.get("dkim_result", "unknown"),
dmarc="pass" if source.get("spf_result") == "pass" or source.get("dkim_result") == "pass" else "fail",
disposition=source.get("disposition", "none")
))
return DomainSourcesResponse(
sources=source_entries
)